
- Want to get to a place to have regression testing rather than testing manually
- Data flow experience
- Backend experience, Database, connections, data validation experience
- Data migration, transformation experience
- Postman
- The flow is from Wordpress to another technology
- API testing
- Wordpress (nice to have)

The ideal candidate needs to have experience in working with content data flows or data flow and data transformation. Schema validation is a plus. At the start, testing will be purely data validation. Ultimately, the data will be integrated into frontend applications
What you work on:
- Familiarize with the client apps and write manual and automation scripts for new features, API and micro-services
- Collaborate with the developers to understand the technical design and write complete, efficient, and reliable automation scripts
- Create, run, and maintain the automation scripts as part of the Acceptance and Regression test suites. Enter bugs in JIRA and verify when fixed.
- Familiarize with the Automation framework and follow the best practice in writing and maintaining scripts
- Participate in grooming session, Sprint review, and estimate the test work
- Review requirements, specifications and technical design documents to provide timely and meaningful feedback
- Create detailed, comprehensive and well-structured test plans and test cases
- Estimate, prioritize, plan and coordinate testing activities

Position requirements:
- 2+ years’ experience with Selenium Java and CI/CD
- Experience in automating API testing (micro-services testing is a plus)
- Knowledge and work experience in AWS is a plus
- Knowledge of web app architecture, API, database
- Familiar with QA processes, proficient in writing good test cases and bugs
- Experience with Agile SCRUM methodology
- Experience in working with remote teams in different time zones

Quality Assurance Professional

7001 - Quality Assurance Professional

**_Must Have for this role:_**

_Provide day-to-day and requirements leadership to team that is comprised of Data Scientists, Data Engineers, and backend Engineers. Team is deeply technical and involved in several different projects simultaneously in a complex organization._
_•                Facilitate (as lead, co-facilitator, and backup) team ceremonies, including standup, refinement/grooming, sprint planning, retrospective_
_•                Maintain deep understanding of team’s sprint – be clear when work is blocked, additional details are needed, deadlines are at risk, and overall health of team._
_•                Primary Subject Matter Expert on multi-step, multi-faceted processes for managing and adding products to internal data solution._
_•                Work with Program Technical Product Manager, lead Data Scientists, and lead Data Engineer to define scope for projects. Translate scope to functional requirements, working with technical leads to fill in details as needed._
_•                Understand overall roadmap and problems team are solving. Comfortable presenting high-level roadmap and problem outlines to team and stakeholders._
_•                Contribute to and manage technical and internal documentation._
_•                Conduct initial analysis on datasets as needed._

**_Interview process:_**
- _1 to 2 interviews_

Business Analyst Project Management Professional

6999 - Business Analyst Project Management Professional

**JR 1728**
---
**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

Xamarin 

6997 - Xamarin 

C# Software Development Professional

6986 - C# Software Development Professional

Our engineering teams are looking for experienced, smart, and adaptable people. We like problem solving. You must exhibit independent creativity while functioning cooperatively on a team. You have a sense of personal accountability, a curiosity to research new technologies and methodologies, and a pervasive desire to dig into complex issues while respecting timelines and team commitments.

We are seeking a Senior Software Engineer for our Enabling Services Abstraction Services Team. This team has stewardship over our abstraction services within our EdTech Platform-as-a-Service (ePaaS), such as Product, Roster, Entitlements, Search, etc. The team mission is to accelerate time to market by proactively solving common and complex repeatable business problems that our platform teams don’t have to reinvent.

This role will partner with leaders, peers, and teams across the organization to deliver on the ePaaS mission to provide easy-to-use, fast, reliable, cost-effective, secure, and scalable services. This role will participate in development and implementation of the vision for the team, spanning architecture, dependencies, engineering process, and technology decisions. This role will be be responsible for end-to-end delivery (tech design, development, and testing) and maintenance of our services, and ensure our services have highest quality, performance, and availability.

We are seeking the desire for personal growth, good communication, and commitment to delivering value for real users, not just shipping features. The ability to learn and adapt along with the belief in providing value to our teachers and students is more important than knowing every technology of our stack in great depth. If you feel you would help our team, our teachers, and our students, and believe in building solutions for modern learning experiences, we want you to apply!

What You’ll Do:
• Design, develop, implement, test and maintain complex software systems and applications.
• Optimize software performance and scalability.
• Perform code reviews and ensure adherence to coding standards and best practices.
• Demonstrate progress on project with clear emphasis on the value.
• Collaborate with your partner product and program leaders to push projects forward by removing obstacles, think beyond the MVP, and clearly communicate status to stakeholders.
• Balance the need to solve deep technical problems with the larger macro goal of delivering software expediently and efficiently across a distributed microservice architecture.
• Analyze business requirements and identify possible gaps, ambiguities, missing scenarios, etc.
• Design and implement sound engineering solutions that meet the business need.
• Solve problems quickly and collaboratively.
• Present a passion for the ePaaS mission.
• Advocate for processes, either by maintaining existing ones, modifying them, adding new ones, or even eliminating processes, to improve the efficacy, quality, and morale of your team.
• Work with product, engineering, SRE, and other leadership to understand how your solutions will be planned, developed, implemented, and supported.
• Contribute to CI/CD processes to allow for smoother releases and increasing team confidence.
• Understand the business requirements of products, tasks, and stores, and if you identify possible gaps, ambiguities, missing scenarios, opportunities, etc., raise them with the team and with leadership so we can all improve them.
• Work with a distributed team to solve problems quickly and collaboratively.
• Consider the full lifecycle of solutions when building them from initial conception to launch then maintenance all the way to sunsetting.

About You:
• You have demonstrated delivering value in a modern engineering environment, working across the full tech stack.
• You design APIs that are meant to be consumed by others, so ease of use, simplistic design, and other attributes that benefit interoperability are key.
• You believe in understanding why work is being done and empathizing with the users, not just implementing code and moving onto the next task.
• You are outspoken in your beliefs and seek out and use data to drive decisions to help your team and project succeed.
• You have demonstrated software delivery experience with a distributed product & engineering team.
• You enjoy researching new technologies and methodologies and have a keen desire to dig into complex technical issues.
• You can work in a fast-paced software release environment, where you continuously deliver production-grade software daily for a system with millions of users around the world.
• You have contributed to the full software development life cycle, including writing application code, unit/integration/automation tests, documentation, and performance and security engineering.

We have a very diverse stack that can vary across teams and projects. Some of the technologies we use include:
• Languages: Go, NodeJS, Java, TypeScript,
• Frameworks: Angular, Spring Boot
• Containerization: Docker
• Cloud: Amazon Web Services (AWS): ECS, RDS, Lambda, and many other services
• Tools: Github, NewRelic, DataDog, JIRA, Confluence, Zoom, Slack, and Office 365
• Databases: MySQL, PostgreSQL, DynamoDB


Candidate will work on tickets assigned to them for a variety of different applications. Depending on their strengths they might be assigned to work on one or two applications at time. With Languages they are familiar with. Also, will involve in fair amount of writing tickets.  Senior Engineers will be expected to with the TPM and potentially people from other teams within our organization to identify the problems, writing tickets to address the problems, and potentially writing the code to implement them.  Writing actual code to infrastructure code.



Must haves:
- Senior experience need to have at least two object or entity program languages. Go, NodeJS, Java, TypeScript,
- Familiarity with Infrastructures code.
- Experience knowledge of AWS, Cloud formation, Lambda or AWS state machine, and Terraform
- Agile Methodologies
- Successful willingness to learn and communication skills
- Team player
- Great Communication Written and Verbal
- Adaptability to change
-Able to celebrate successes
- Accountability and action
-Trust and Candor
-Flexibility to work on something they have not worked on before
Interview process: 2 total - 1 hour each

Go Software Development Professional

6985 - Go Software Development Professional

6984 - Go Software Development Professional

6983 - Go Software Development Professional

6982 - Go Software Development Professional

What you work on:
- Familiarize with the client's apps and write manual and automation scripts for new features, API and micro-services
- Collaborate with the developers to understand the technical design and write complete, efficient, and reliable automation scripts
- Create, run, and maintain the automation scripts as part of the Acceptance and Regression test suites. Enter bugs in JIRA and verify when fixed.
- Familiarize with the Automation framework and follow the best practice in writing and maintaining scripts
- Participate in grooming session, Sprint review, and estimate the test work
- Review requirements, specifications and technical design documents to provide timely and meaningful feedback
- Create detailed, comprehensive and well-structured test plans and test cases
- Estimate, prioritize, plan and coordinate testing activities

Position requirements:
- 2+ years’ experience with Selenium Java and CI/CD
- Experience in automating API testing (micro-services testing is a plus)
- Knowledge and work experience in AWS is a plus
- Knowledge of web app architecture, API, database
- Familiar with QA processes, proficient in writing good test cases and bugs
- Experience with Agile SCRUM methodology
- Experience in working with remote teams in different time zones

SDET Quality Assurance Professional

6972 - SDET Quality Assurance Professional

6971 - SDET Quality Assurance Professional

- Senior Designer 
- Experienced in solution design and workflows
- 3-6 month duration
- 40 hr weeks

Design UX/UI UI UX Design Professional

6969 - Design UX/UI UI UX Design Professional

6965 - Go Software Development Professional

- 4 -5 minimum years of experience required.
- Dev should have a lot of experience using react-native and redux (our app has a lot of heavy usage).
- Dev should have a lot of experience with Typescript
- Dev should be solutions based, there are a lot of scenarios where the dev will need to think outside of the box to solve a problem.
- Dev should have great understanding of best practices when handling large list of data to avoid performance issues/bottlenecks.
- Dev should have experience distributing to both Appstore and Play Store
- Experience with MapBox/Google Maps/Apple Maps is a plus.
- Experience with Xcode/Android Studio performance monitoring tools is a plus
- Experience with Fastlane/Firebase Distribution is also a plus

React Native 

6963 - React Native 

Responsibilities
- Build, manage and automate our AWS infrastructure and related systems.
- Design cloud infrastructure that is secure, scalable, and highly available on AWS.
- Work collaboratively with Product Development team to define infrastructure and deployment requirements.
- Provision, configure and maintain AWS cloud infrastructure, it should ideally be able to be defined as IaC
- Ensure configuration and compliance with configuration management tools
- Build and maintain operational tools for deployment, monitoring, reports and analysis of AWS infrastructure and systems
- Responsible for jumping in during any downtime for the site.
- Proactive management and mitigation of the AWS infrastructure to ensure site is ready for growth during busy times.
- **Strong bias for action and ownership (Very important)**
- Strong English communication skills


Qualifications
- At least 5 years of experience building and maintaining AWS infrastructureECS (desirable)
Elasticbeanstalk (highly desirable)
- EKS (desirable)
- Understanding of how to secure AWS environments and meet compliance requirements
- Hands-on experience deploying and managing infrastructure with Terraform (optional)
- Solid foundation of networking and Linux administration
- Experience developing and maintaining CI/CD workflows with tools such as Gitlab, Jenkins, Bamboo, etc.
- Experience with CI/CD and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools

Site Reliability Engineer IT Operations Professional

6962 - Site Reliability Engineer IT Operations Professional

Security Analyst Responsibilities:
Produce Standard Operating Procedures for Security Operations Center (SOC) and Security Operations.
Produce documentation to enrich knowledge base.
Produce security training material for Customer Success Managers (CSM) and SOC.
Stay abreast of Azure security policies and features to serve as subject matter expert (SME) for internal and external clients.
Analyze client dashboards and configurations to proactively identify issues and opportunities for improvements.
Analyze current open tickets, client security risks, compliance gaps, and Threat Intel feeds to produce Client Intelligence Reports.
Configure and analyze Threat Intel feeds to proactively identify cyber threats and make recommendations.
Research methods, tactics, and procedures used by threat actors in response to Requests for Intel (RFI).
Analyze security alerts and take actions to ensure the confidentiality, integrity, and availability of services and data.
Configure, fine tune, and continuously improve monitoring and detection solutions.
Perform continuous vulnerability scans of the attack surface.
Assist in security audits and penetration tests.
Respond to cyber security events and compliance issues as part of the Incident Response process.
Produce Incident Reports and perform Root Cause Analysis.
Perform ongoing vulnerability and attack surface scans and produce meaningful vulnerability reports.

Prerequisites:
Bachelors in Computer Science, or 2 years of industry experience, or Cyber Security certifications such as CompTIA Security+, CCSP, CySA+, MS Certified: Azure Security Engineer Associate, SSCP, CIAC Security Essentials, CISM, CRISC, CISA, CISSP
Knowledge of recognized cyber security frameworks, such as NIST and ISO 27001.
Experience with monitoring tools, such as EDR, XDR, SIEM, etc.

Security Analyst IT Operations Professional

6958 - Security Analyst IT Operations Professional

**JR 1619**

**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

6957 - Xamarin 

**JR1330**

**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
Responsibilities:
- Develops and implements automated tests within our current framework and infrastructure.
- Reviews new and existing user stories to ensure good understanding of Axos bank core functionality.
- Writes new and updates existing test cases as needed.
- Responsible for reviewing, interpreting, and applying business rules and logic to ensure a high level of software quality, consistency, and repeatability
- Works closely with Project, Product, Development, and Production Support teams to meet agreed-upon deliverables

Requirements:
- Bachelor’s degree in related field
- 3+ years' in Quality Assurance
- Testing certification
- Clearing expertise

6956 - Quality Assurance Professional

**Essential Job Duties**
- Responsible for developing and execution of automated test procedures on application(s).
- Responsible for isolation and resolution, as well as validation of issues / bugs and client specific enhancements.
- Responsible for maintaining automated scripts with application changes/additions.
- Initiates tests, analyzes results, and finds solutions to technical and process driven problems.
- Perform other duties as assigned by immediate supervisor or upper management

**Basic Qualifications**
- 3+ years’ experience testing Microsoft .NET/C#.
- 3+ years/ of designing, creating and maintaining automated tests.
- Demonstrated knowledge of Object Oriented concepts.
- Experience working with database access objects in .NET.
- Experience with Selenium WebDriver and Visual Studio 2019.
- Solid knowledge of Unit test frameworks (NUnit, MSTest or similar).
- Experience with bug tracking software (Azure DevOps, JIRA, UTF or similar).
- Experience with version control management systems (Azure DevOps, GIT, SVN or similar).
- Experience with API testing.
- Experience testing Azure components: Azure Function, App Service, Service Bus, Azure SQL
- Proficient in implementing test cases with C#, SQL Gherkin, JSON and XML.
- Excellent listening, presentation, and consultative skills.
- Proven organizational, leadership, and interpersonal skills and proven success working directly with clients.
- Excellent verbal and written communication skills – ability to interface and influence at multiple organizational levels.

**Education Requirements**
- Bachelor’s degree in Computer Science or related field preferred, or equivalent experience. Business background a plus.

6948 - SDET Quality Assurance Professional

**Senior Application Developer - AI Course Bots**

**About the Role:**
Seeking an exceptional Senior Application Developer to contribute to the development of revolutionary course bots using generative AI technologies on AWS Cloud. This role will play a crucial part in shaping the future of business education by leveraging cutting-edge AI to create innovative, interactive learning experiences.

**Key Job Responsibilities:**
- Develop enterprise grade AI-powered course bots, ensuring scalability, performance, extensibility and integration with existing systems.
- Implement the technical vision for the course bot platform, including working with appropriate AI models, APIs, and AWS infrastructure components in a highly collaborative environment
- Collaborate with faculty, product managers, and educational technology experts to translate pedagogical requirements into technical implementations for the AI course bots.
- Implement robust, scalable, and secure cloud-based solutions on AWS to support the deployment and operation of course bots.
- Follow best practices for software development, including coding standards, review processes, and testing methodologies specific to AI- driven
applications.
- Integrate cutting-edge generative AI technologies, ensuring the course bots remain at the forefront of educational technology.
- Implement data management solutions, including data ingestion, storage, and retrieval mechanisms to support the AI models powering the course bots.
- Develop solutions for seamless integration of course bots with existing learning management systems and digital platforms.
- Implement monitoring, logging, and analytics systems to track bot performance, usage patterns, and educational outcomes.
- Implement security and privacy measures to protect sensitive educational data and ensure compliance with relevant regulations such as FERPA.
- Collaborate with cross-functional teams to align technical implementations with business goals, educational objectives, and user experience requirements.
- Stay abreast of emerging trends in AI, cloud computing, and educational technology, and propose innovative applications to enhance the course bot
platform.

**Required Qualifications:**
- Bachelor’s degree or equivalent in Computer Science, Software Engineering, or related field.
- 5+ years of software development experience, with a focus on cloud- native applications.
- Experience with serverless architectures, microservices, and event-driven design patterns.
- Experience with Retrieval-Augmented Generation (RAG) techniques, including the most recent approaches with GraphRAG and Contextual Retrieval.
- Experience with generative AI evaluation frameworks.
- Experience with multi-agent frameworks such as AutoGen, LangGraph andothers. Strong understanding of AWS services, particularly in areas of AI/ML (e.g.,
SageMaker, Bedrock), serverless computing (e.g, Lambda, Step Functions), and data management (e.g., S3, DynamoDB, RDS).
- Strong proficiency with production coding in Python and JavaScript / TypeScript, with experience in developing AI and NLP applications.
- Hands-on experience with generative AI technologies, pre-trained (e.g., BERT), and autoregressive large language models (e.g., from OpenAI, Anthropic, Cohere, Google, etc).
- Experience in designing and implementing RESTful APIs and GraphQL services.
- Familiarity with DevOps practices, including CI/CD pipelines, infrastructure
as code, and automated testing
- Understanding of data privacy, security best practices, and compliance requirements in educational settings.
- Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Experience in Agile methodologies and project management tools.

**Preferred Qualifications:**
- Understanding of educational technology trends and e-learning platforms.
- Experience with infrastructure as code using Terraform or AWS CDK.
- Advanced knowledge of LLMs and machine learning algorithms.
- Contributions to open-source projects or academic publications in relevant fields.
- Knowledge of modern front-end frameworks (e.g., React, Vue.js) and their integration with backend services.

**What We Offer:**
- Opportunity to work on cutting-edge AI technologies in education at a world-renowned institution.
- Collaboration with world-class faculty and researchers
- Professional development and continuous learning opportunities.

AI Software Development Professional

6943 - AI Software Development Professional

JR 1702

Xamarin/Maui

5 YOE required. 

**About This Job**
Designs, develops, and maintains software applications. Leads a team of developers, provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
- Develops complex software components. Provides team and project leadership for software development activities.
- Develops interfaces and drivers for hardware devices, software platforms and data exchange.
- Advises developers on best methods of software development and code creation.
- Monitors and modifies development work to make sure resulting software meets established goals.
- Tests and debugs software to ensure high-quality and error-free products.
- Collaborates with cross-functional teams to identify and resolve software issues.

6941 - Xamarin 

**Typical Years of Experience**
- 3 or more years in an SDET role or a related Engineering field.

**Technical Expectations**
- Experience using best coding practices
- Experience in the product or system(s) under test.
- Experience with automation tools and different automation frameworks including API automation (e.g. MsTest, Nunit, Specflow, Cucumber, Nightwatch, TestNG etc).
- Experience in multiple programming languages (e.g. Java, Ruby, Javascript).
- Experience implementing and troubleshooting CI/CD pipelines.
- Experience working with Performance and Load Testing Tools.
- Experience working with Mobile Automation.
- Experience working with remote teams.

6938 - SDET Quality Assurance Professional

6937 - SDET Quality Assurance Professional

**JR 1643**

**About This Job**
Manages and maintains Salesforce platform. Implements and customizes solutions to meet business needs. Provides technical support and training to users. Monitors system performance and security. Collaborates with stakeholders to optimize platform functionality.

Build Salesforce.com Declarative customizations & automations
Develop deep understanding of the internal Consumer & Commercial Banking operations to lead complex projects and integrations to improve sales and service
Promote business adoption of system capabilities and features (via trainings & webinars)
Participate in all aspects of our Agile Project Methodology (including proper Change Management)

Manages and maintains Salesforce platform. Implements and customizes solutions to meet business needs. Provides technical support and training to users. Monitors system performance and security. Collaborates with stakeholders to optimize platform functionality.

**Responsibilities**

Build Salesforce.com Declarative customizations & automations
Develop deep understanding of the internal Consumer & Commercial Banking operations to lead complex projects and integrations to improve sales and service
Promote business adoption of system capabilities and features (via trainings & webinars)
Participate in all aspects of our Agile Project Methodology (including proper Change Management)

**Education & Experience**

Bachelors
2+ years as a Salesforce.com Administrator
Experience developing custom reports & Dashboards
Experience with SalesCloud, ServiceCloud,
Well-versed in data quality and integrity governance

Salesforce Admin 

6935 - Salesforce Admin 

**JR 1468** 

**About This Job**
Leads the design, documentation, and analysis of the business architecture in their area and provides recommendations to ensure the delivery of an integrated, holistic solution. Keeps up-to-date with emerging trends and technologies in software development.
- Sets the architectural direction for the data domain that is aligned with business goals. Creates and advances the data architecture vision and strategy
- Leads project-level architectural reviews and ensures alignment with architectural deliverables, principles, strategies and standards
- Leads the design, documentation, and analysis to maintain a holistic view of data assets by creating and maintaining blueprints that illustrate how data is stored, processed, and accessed
- Drives collaboration efforts and capitalizes on the talents of others to achieve established goals. Coaches and mentors others and assists with problem resolution
- Facilitates and orchestrates the delivery of targeted business outcomes through architectural decisions
- Leads the creation of models, architecture design work products, and new technology innovation initiatives within area(s) of responsibility and for the enterprise
- Collaborates with enterprise, solution, and domain architects to understand the implications of respective architectures on data architecture and maximize the value of information across the organization
- Works with senior stakeholders and subject matter experts in driving effective data management standards and policies across the organization
- Provides recommendations on business information that will need to be available and shared consistently across the organization through the identification, definition and analysis of how information assets aid strategies and business outcomes
- Assists data and analytics leaders, and business and IT leadership in developing data strategy, and governance processes and structures
- Leads the creation of models, technical standards, and architecture design work products within area(s) of responsibility
- Leads technology portfolio prioritization efforts and owns the management of technology portfolio within area(s) of responsibility
- Expands the use and successful delivery of information across the enterprise, resulting in improved decision making
- Provides strategic recommendations to maximize the value of enterprise data assets, including the external data ecosystem through data exploitation, envisioning data-enabled strategies and enabling business outcomes through analytics, data and analytics governance, and enterprise information policy
- Evaluates and recommends emerging technologies for data management, storage and analytics
- Provides insight into the relationship of data to business objectives, applications, technology, principles and standards
- Represents enterprise architecture by advocating and sharing knowledge. Builds credibility for an initiative by presenting evidence and ensuring that individuals affected are included in the process at the outset
- Participates as a member of one or more architectural review boards that ensure architecture quality and compliance
- Leads short and long-term initiatives and road mapping efforts that drive change and gains support for proposed solutions
- Works with multiple teams under Enterprise Data Management and acts as a leader to influence enterprise direction/approach and the strategic planning process
- Educates business and IT partners on information architecture. Contributes ideas and makes recommendations to improve the process followed for work product by making it more efficient and effective
- Preferred Fivetran implementation exposure

**Required Key Knowledge Skills/ Experience**
- 5+ years' working in data architect capacity with multi-platform, distributed applications
- 3+ years' managing effective data teams focused on data monetization initiatives
- 3+ years' with Agile, Six Sigma, SDLC and industry standard Data Management & Data Governance methodologies
- Deep understanding of data warehousing concepts, including complex data structures, data transformations and data analytics
- Knowledge of leveraging unstructured data including imaged documents, 3rd party data, web traffic data, etc.
- Knowledge of enterprise architecture design concepts
- System modeling and diagramming approaches
- System integration techniques and patterns
- Understand information security and industry security best practices in regards to data
- Experience with multi-platform, distributed application implementations across SQL Server, Cloud based data warehouses such as AWS
- Excellent written and verbal communication skills; experience working with cross-functional teams, and presenting to leadership
- Bachelor's/Master's Degree in a related field

**Desired Career Experience**
- Experience in BigData
- Banking/FinTech industry experience
- Snowflake implementation exposure

SQL Software Development Professional

6934 - SQL Software Development Professional

Senior Data Engineer (DBT and BigQuery)
**Summary**
We are seeking a highly skilled **Senior Data Engineer** with strong expertise in **DBT** and **Google BigQuery** to join our team. You will play a key role in building and optimizing our data warehouse and reporting solutions. The ideal candidate is proactive, not afraid to suggest changes, and committed to implementing best practices. Experience with **Sigma** or similar data visualization tools is a plus. We have vast amounts of data, and both internal and external stakeholders rely on our reports for critical decision-making, so data quality through rigorous testing and validation is essential. If you're passionate about data engineering and meet the above qualifications, we'd love to hear from you!
**Duties and Responsibilities**
- **Develop and Maintain Data Models:** Build and optimize data marts (bronze, silver, gold) using DBT for efficient data transformation and reporting.
- **Manage Data Warehouse:** Help oversee the BigQuery data warehouse, ensuring it is organized, efficient, and scalable to handle large datasets.
- **Implement Code-Based Transformations:** Utilize code (not traditional SQL jobs) for data transformations to ensure maintainability and scalability.
- **Ensure Data Quality:** Implement testing strategies to validate data integrity and accuracy.
- **Collaborate with Team:** Work closely with data architect to align on data strategies and architecture.
- **Optimize SQL Queries:** Write and optimize complex SQL queries for data manipulation, ensuring high performance and efficiency.
- **Integrate Data Sources:** Combine and join data from various sources to create comprehensive and actionable reports.
- **Propose Improvements:** Actively suggest and implement best practices and improvements to existing data processes and systems.
- **Support Reporting Needs:** Assist in creating reports and dashboards using Sigma or similar tools for internal and external stakeholders.
- **Maintain Documentation:** Keep thorough documentation of data models, transformations, and processes for transparency and team alignment.

**Required Qualifications**
- Advanced degree in computer science, data engineering, statistics, or an equivalent technical discipline.
- 4+ years of experience using DBT for data transformation and modeling, including building data marts and implementing ELT processes.
- Strong skills in managing and optimizing data warehouses in BigQuery, handling large datasets efficiently.
- Proficient in writing and optimizing complex SQL queries for data manipulation and analysis.
- Ability to combine and join tables from various sources for comprehensive reporting.
- Experience implementing data transformations using code rather than traditional SQL jobs, ensuring maintainability and scalability.
- Ability to work closely with architects and consultants, contributing to data strategy alignment.
- Willingness to suggest improvements, adopt best practices, and make necessary changes confidently.

**Preferred Qualifications**
- Familiarity with Sigma or similar data visualization tools like Tableau or Looker for creating insightful reports and dashboards.
- Experience using Terraform for infrastructure as code to manage cloud resources.
- Knowledge of Python for scripting and automation tasks.
- Familiarity with Docker for containerizing applications and services.
- _Experience with Machine Learning Engineering is a strong bonus!_

Data Engineer Software Development Professional

6926 - Data Engineer Software Development Professional

**Quality Engineer
Role and Responsibilities**
- As a Quality Engineer, you will bring a depth of experience in software quality techniques and tools to a collaborative, team-based environment.
- You will act as a champion of quality, influencing architectural decisions.
- You will flex between being hands-on and being a technical leader for your team.
- You will provide thought leadership to define and implement well-balanced test strategies with confidence in your daily communication.
- Specifically, you will: Lead and collaborate with the team to define test strategies formulti-layered applications
- Coach team members on shared responsibilities and activities
- Assist team members to unblock tasks and drive to resolution
- Assess project needs and guide the team on testability of user stories, including acceptance criteria, non-functional requirements, and the definition of done
- Share what you learn with your teams and the other members of the QE community

**Required Skills**
- Experience working in an Agile team-based environment
- Define robust test automation architecture and apply and evolve open-source frameworks
- Create trusted test automation with high reliability and relevancy
- Highly proficient in using code to build reliable, trusted test automation across multiple technology solutions.
- Participate in solution architecture discussions and identify potential test framework needs
- Define and drive in-sprint and post-sprint quality activities
- Excellent communication and organizational skills that enable you to lead team efforts to elevate quality throughout the project lifecycle.
- Expertise across multiple areas of modern software quality and specific experience that enables you to take on unique challenges and grow the knowledge of other builders.
- A computer science-based mindset is needed; a technology-based education is helpful.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to conductthorough root cause analysis.
- Communication: Excellent written and verbal communication skills, with the ability to effectively collaborate with cross-functional teams and present complex information to stakeholders.
- Fair understanding of some of the major programming languages such as Python, C#, Java, JavaScript/TypeScript (Object Oriented Programming) with good understanding of Rest API
- Python is the most preferred.
- Knowledge of popular UI testing frameworks such as Playwright, Cypress or similar ones and Page Object Model pattern.
- Knowledge of SQL and No SQL databases and ability to write complex queries.
- Knowledge of basic services from major cloud service providers (AWS and Azure in this case)
- AWS experience is required
- Basic understanding of Generative AI concepts and ability to interact with the LLMs.

**Nice to have skills**
- Education: Bachelor's degree in Engineering, or a related technical field
- Experience: 5-7+ years of applicable experience in a regulated industry (5+ years of experience can be substituted for an Advanced degree in a related discipline)

6922 - SDET Quality Assurance Professional

- Strong mobile application development experience with Xamarin and .Net Maui
- Any experience converting from Xamarin to Maui is a big plus
- C#.Net; XAML; APIs

As an experienced MAUI developer, you will be crucial in converting existing Xamarin applications to Dot Net Maui. This position requires a deep understanding of Xamarin, MAUI, and .net mobile frameworks, a strong background in mobile Application Development, and a proven track record of successful project delivery. Key responsibilities: Led converting existing Xamarin Forms applications to .NET MAUI, ensuring seamless migration and optimal performance across all platforms. Collaborate with the Development team to Design, Develop, and implement sophisticated mobile applications in .NET MAUI. Conduct thorough testing and debugging of the applications to ensure high quality and reliability. Provide technical guidance and mentoring to the other team members regarding best practices in Mobile Development. Stay abreast of the latest advancements in.net MAUI and mobile development technologies, incorporating new ideas and tools into the team's workflow. Requirements: Strong experience in Mobile Application Development, specifically with Xamarin Forms and .NET MAUI. Solid understanding of the conversion process from Xamarin to .NET MAUI, including common challenges and best practices Proficient in C#, XAML, & .NET Development environments. Experience with MVVM design patterns and dependency injection. Familiarity with restful API's Asynchronous Programming and Data Base storage solutions Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Clean code Experience analyzing features and creating diagrams Client-side caching experience Experience developing investment products

6919 - Xamarin 

**JRR 1443**

**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

6897 - C# Software Development Professional

**JR 1483**

**About This Job**
Facilitates Agile ceremonies, coaches team on Agile principles, ensures team adheres to Scrum framework, removes impediments, tracks progress and metrics, communicates with stakeholders, manages project scope, budget, and timeline, and ensures timely delivery of high-quality products.
- Coaching the scrum team to apply appropriate processes to create successful products.
- Ensuring scrum principles and approaches are understood correctly by the development team and stakeholders; maximizing the performance of the team.
- Monitoring and improving the scrum process and project progress; helping solve impediments in the development process.
- Fostering self-organization and collaborative scrum team; sheltering the team from outside distractions to keep focus mainly on the agreed sprint goals.
- Facilitates daily stand-up meetings.
- Identifies and resolves project roadblocks.

Scrum Master Project Management Professional

6896 - Scrum Master Project Management Professional

**JR 1444**

**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

6893 - C# Software Development Professional

**JR 1488**

**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute tests, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
We are seeking an Intermediate Hybrid QA for testing role.  The ideal candidate will have a strong background in software development and testing,
You will play a critical role in ensuring the quality and reliability of our software products through the design, development, and execution of tests. You will collaborate closely with engineers and product managers to identify test requirements, develop test strategies, and implement test automation solutions.
This role is pivotal in enhancing our testing efficiency and ensuring the reliability of our applications.
Key Responsibilities:
- Test Planning and Execution:Tests complex API, and web-based applications that reference database back-end systems.
Reproduces, debugs, and isolates problems and verifies fixes.
Works closely with software developers to create software artifacts including test plans, test cases, test procedures, and test reports.
Design, create, develop, and maintain automated test frameworks and test suites to validate software functionality, performance, and scalability.
Design and implement automated testing processes and tools for software products.
Collaborate with software engineers to ensure testability and maintainability of code throughout the software development lifecycle.
Collaborate with the engineering teams to drive testing requirements throughout the development cycle.
Identify and prioritize test cases for automation based on risk, complexity, and frequency of use.
Work closely with cross-functional teams to troubleshoot issues, investigate root causes, and drive resolution of defects.

- Collaboration and Communication:Act as a key liaison between the development, product management, and quality assurance teams to ensure clear understanding of product features, technical challenges, and testing requirements.
Facilitate regular meetings and discussions with stakeholders to review testing strategies, priorities, and outcomes, ensuring alignment with project goals and timelines.
Provide technical guidance and support to developers and other team members in best practices for unit testing, integration testing, and other testing methodologies.

- Continuous Improvement:Conduct regular reviews of testing processes, tools, and methodologies to identify opportunities for improvement and innovation in testing practices.
Stay abreast of the latest trends and advancements in software testing and quality assurance, including new tools, frameworks, and best practices, to ensure the team remains at the forefront of testing excellence.


Qualifications:
- Educational and Professional Background:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
At least 5 years of experience in software development and testing, with a focus on automated testing.

- Technical Expertise:Strong programming skills in modern languages such as Java, C#. Experience with relational databases such as MS-SQL, Oracle, Postgres, and scripting languages such as Groovy or Python
Expertise in developing and implementing automated testing frameworks and tools (e.g., Postman, Testim, Selenium, JUnit, TestNG, Cypress).
Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI) and version control systems (e.g., Git).

- Analytical and Problem-Solving Skills:Excellent analytical skills with the ability to troubleshoot complex software issues.
Strong problem-solving abilities, with a focus on delivering efficient and effective testing solutions.

- Leadership and Teamwork:Proven leadership skills with the ability to mentor and guide team members.
Strong collaboration and communication skills, capable of working effectively in a team environment.

6881 - Quality Assurance Professional

**JR1487**

**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
We are seeking a Software Development Engineer in Test (SDET) to lead our efforts in automating testing processes within our fintech software development team. The ideal candidate will have a strong background in software development and testing, with extensive experience in building and implementing automated testing frameworks and tools. This role is pivotal in enhancing our testing efficiency and ensuring the reliability and performance of our applications.
Key Responsibilities:
- **Test Planning and Execution:**Create detailed, comprehensive, and well-structured test plans and test cases that cover automated feature testing, full regression testing, and load testing / capacity planning.
Execute automated tests and analyze results, identify and document bugs, and work closely with the development team to ensure timely resolutions.
Implement best practices for managing test environments, test data, and test execution to ensure repeatability and reliability of testing.
- **Automated Testing Framework Development:**Lead the design and implementation of scalable and maintainable automated testing frameworks to support backend and frontend testing.
Evaluate and integrate advanced automated testing tools and software, including open-source and commercial solutions, to enhance testing capabilities.
Develop custom test automation scripts and utilities in Go, Python, or other relevant programming languages to automate repetitive testing tasks and scenarios.
- **Quality Assurance Leadership:**Champion the integration of automated testing into the Continuous Integration/Continuous Deployment (CI/CD) pipeline, working closely with DevOps to automate and streamline testing processes.
Establish and monitor key performance indicators (KPIs) for testing and quality assurance, including test coverage, bug detection rates, and test execution times, to continuously assess the effectiveness of testing strategies.
Lead quality assurance initiatives, including code quality checks, security testing, and performance testing, to ensure the software meets the highest standards of quality and security.
- **Collaboration and Communication:**Act as a key liaison between the development, product management, and quality assurance teams to ensure clear understanding of product features, technical challenges, and testing requirements.
Facilitate regular meetings and discussions with stakeholders to review testing strategies, priorities, and outcomes, ensuring alignment with project goals and timelines.
Provide technical guidance and support to developers and other team members in best practices for unit testing, integration testing, and other testing methodologies.
- **Continuous Improvement:**Conduct regular reviews of testing processes, tools, and methodologies to identify opportunities for improvement and innovation in testing practices.
Stay abreast of the latest trends and advancements in software testing and quality assurance, including new tools, frameworks, and best practices, to ensure the team remains at the forefront of testing excellence.
Organize and participate in training and development activities for team members to enhance their testing skills and knowledge of automated testing tools and practices.


Qualifications:
- **Educational and Professional Background:**Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
At least 5 years of experience in software development and testing, with a focus on automated testing.
- **Technical Expertise:**Strong programming skills in modern languages such as Java, C#. Experience with relational databases such as MS-SQL, Oracle, Postgres, and scripting languages such as Groovy or Python
Expertise in developing and implementing automated testing frameworks and tools (e.g., Postman, Testim, Selenium, JUnit, TestNG, Cypress).
Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI) and version control systems (e.g., Git).
- **Analytical and Problem-Solving Skills:**Excellent analytical skills with the ability to troubleshoot complex software issues.
Strong problem-solving abilities, with a focus on delivering efficient and effective testing solutions.
- **Leadership and Teamwork:**Proven leadership skills with the ability to mentor and guide team members.
Strong collaboration and communication skills, capable of working effectively in a team environment.

6879 - Quality Assurance Professional

**JR 1262**

Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

6873 - C# Software Development Professional

Our team is looking for a Full-Stack Software Engineer with experience in helping teams deliver quality software. This team is charged with deep collaboration with product and academic design teams to find creative ways to improve our speed to market for our curriculum products.

What You’ll Do:

• Use your interpersonal skills and ability to collaborate effectively with product sponsors and senior leadership in engineering and business
• Analyze business requirements and identify possible gaps, ambiguities, missing scenarios, etc.
• Design and implement sound engineering solutions that meet the business need
• Work with a distributed team to solve problems quickly and collaboratively
• Present a passion for building high-quality, user-friendly, scalable, reusable web components and microservices

Our Stack Includes:
• Go
• TypeScript, Angular 9, Playwright
• GitHub Actions, Docker, Kubernetes, ECS
• AWS– RDS, EKS, ECS, Elasticsearch, SQS, SNS, S3, etc.
• GitHub
• JIRA, Confluence, Microsoft Teams, Slack

About You:

• You have demonstrated software delivery experience with a distributed product & engineering team
• 3+ years working with languages such as Go, Node.js, or similar
• You can work in a fast-paced software release environment, where you deliver productiongrade (zero downtime, fault-tolerant, etc.) software daily for a system with millions of users
• You can contribute to the full software development life cycle – including writing application code, writing unit/integration/automation tests, documentation and performance engineering
• You are excited about building scalable API applications, and crafting intuitive and responsive user interfaces for students and teachers so they can get the most out of our products

Strong applied knowledge of the following:
• RESTful Web Services (experience producing and consuming REST services)
• Relational database design concepts (MySQL, PostgreSQL)
• Application Testing (unit, integration, performance, end to end) for full user journeys
• Cloud Technologies (preferably Amazon Web Services (RDS, EKS, ECS, Elasticsearch, SQS,
SNS, S3, etc.)
• JavaScript Frameworks & Libraries (e.g. Angular, React, Vue, MUI)
• Responsive Web Design/Development
• Accessibility
• Code Quality and Code Review

Some understanding of the following:
• Build/deploy tools (for example GitHub Actions, CircleCI, Jenkins, npm)
• Source/Version control systems (Git)

6871 - Go Software Development Professional

Our team is looking for a Full-Stack Software Engineer with experience in helping teams deliver quality software. This team is charged with deep collaboration with product and academic design teams to find creative ways to improve our speed to market for our curriculum products.

What You’ll Do:

• Use your interpersonal skills and ability to collaborate effectively with product sponsors and senior leadership in engineering and business
• Analyze business requirements and identify possible gaps, ambiguities, missing scenarios, etc.
• Design and implement sound engineering solutions that meet the business need
• Work with a distributed team to solve problems quickly and collaboratively
• Present a passion for building high-quality, user-friendly, scalable, reusable web components and microservices

Our Stack Includes:
• Go
• TypeScript, Angular 9, Playwright
• GitHub Actions, Docker, Kubernetes, ECS
• AWS– RDS, EKS, ECS, Elasticsearch, SQS, SNS, S3, etc.
• GitHub
• JIRA, Confluence, Microsoft Teams, Slack

About You:

• You have demonstrated software delivery experience with a distributed product & engineering team
• 5+ years working with languages such as Go, Node.js, or similar
• You can work in a fast-paced software release environment, where you deliver productiongrade (zero downtime, fault-tolerant, etc.) software daily for a system with millions of users
• You can contribute to the full software development life cycle – including writing application code, writing unit/integration/automation tests, documentation and performance engineering
• You are excited about building scalable API applications, and crafting intuitive and responsive user interfaces for students and teachers so they can get the most out of our products

Strong applied knowledge of the following:
• RESTful Web Services (experience producing and consuming REST services)
• Relational database design concepts (MySQL, PostgreSQL)
• Application Testing (unit, integration, performance, end to end) for full user journeys
• Cloud Technologies (preferably Amazon Web Services (RDS, EKS, ECS, Elasticsearch, SQS,
SNS, S3, etc.)
• JavaScript Frameworks & Libraries (e.g. Angular, React, Vue, MUI)
• Responsive Web Design/Development
• Accessibility
• Code Quality and Code Review

Some understanding of the following:
• Build/deploy tools (for example GitHub Actions, CircleCI, Jenkins, npm)
• Source/Version control systems (Git)

6870 - Go Software Development Professional

6869 - Go Software Development Professional

**The impact you'll make:**
- The right candidate will be working with the existing Unosquare team on upskilling, continuous learning in Ruby while contributing at the code level
- Contribute to mission-critical services that power online ordering for thousands of cannabis storefronts and delivery services
- Build integrations with other industry partners.
- Build APIs to enhance the consumer & dispensary eCommerce experience
- Take ownership of significant initiatives and drive them from development through completion
- Collaborate closely with Design, QA, Product, EM, and fellow developers to define and scope initiatives by balancing risks, constraints, and speed to market
- Cultivate a sense of customer empathy to continue building an exceptional product
- Identify opportunities for improvement to our engineering and business processes as we scale our engineering teams and the overall organization

**What you've accomplished:**
- Bachelor's Degree in Computer Science or equivalent degree/work experience
- 3+ years of working experience in Ruby on Rails
- Effective communication skills, a positive attitude, and the ability to give and receive constructive feedback through mentoring, pair programming sessions, and code reviews
- Proven ability to influence cross-functional stakeholders
- Minimum of 3+ years of software development experience at mid/big sized companies
- Professional experience coding backend applications in a production environment
- Professional experience developing large, scalable backend applications
- Developed an understanding of system architecture and design; with consideration given to security, performance, scalability, and handling of personally identifiable information
- Owned the technical design of significant features or projects and can articulate the reasoning behind trade-offs made in your designs
- Experience building internal and external APIs with proper documentation and versioning strategies that avoid breaking changes whenever possible
- Experience with SQL databases such as MySQL, Postgres, or SQL Server
- Experience adding telemetry, alerting, and monitoring to services
- Love taking on the challenge of learning new technologies
- Self-starter attitude with a disciplined work ethic

**Bonus points:**
- Experience in a functional programming language
- Experience with frontend frameworks such as React or Next.js
- Experience with mobile development, Android and iOS
- Subject matter expert in specific verticals, i.e., Payments, Logistics, E-Commerce
- Experience with our runtime environments and tools: Kubernetes, DataDog, PagerDuty, Honeybadger, CodeFresh

Ruby Software Development Professional

6865 - Ruby Software Development Professional

Job Title: Cloud-Native Application Developer (Node.js, Python, AWS)
Job Type: Full-Time

About the Role:

We are looking for a problem solver with a passion for writing clean, efficient code to join our team as a Cloud-Native Application Developer. In this role, you will leverage your strong software engineering background and CS fundamentals—such as data structures and algorithms—while building cloud-native applications that solve complex problems. You will work on creating scalable and reliable services using modern cloud technologies, with a focus on AWS. The right candidate is someone who is both technically proficient and loves to write code that delivers value.

Responsibilities:
- Design and build  cloud-native applications using Node.js and Python, ensuring robust solutions that solve real-world problems.
- Apply strong knowledge of data structures, algorithms, and design patterns to create efficient and scalable systems.
- Write clean, maintainable code and contribute to code reviews to ensure high-quality codebase.
- Build and deploy serverless applications on AWS, utilizing Lambda, API Gateway, and other AWS services to create highly scalable and resilient solutions.
- Develop and maintain RESTful APIs and event-driven architectures that are efficient and secure.
- Use AWS best practices to design, develop, and optimize services, ensuring applications are cost-efficient, high-performing, and reliable.
- Solve performance bottlenecks and ensure high availability for cloud-native applications  through thoughtful design and optimization.
- Collaborate with  cross-functional teams, including product managers, DevOps engineers, and other developers, to translate business requirements into technical solutions.
- Build and optimize CI/CD pipelines for smooth deployment processes.
- Troubleshoot complex issues in production and implement solutions to enhance the stability of  the applications.

Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in software development with a focus on problem-solving and building solutions through code.
- Strong proficiency in data structures, algorithms, and software design principles.
- Experience in building cloud-native applications using Node.js and Python.
- Hands-on experience with AWS services, including Lambda, API Gateway, S3, DynamoDB, etc.
- Expertise in developing  scalable and efficient RESTful APIs and working with event-driven systems.
- Familiarity with serverless architectures, microservices, and containerization (Docker,      Kubernetes).
- Proficient in debugging, performance optimization, and writing code that can handle large-scale cloud-based systems.
- Experience with CI/CD  pipelines, automated testing, and deployment strategies.
- Familiarity with cloud security best practices, including IAM, VPC, and encryption.

Preferred Skills:
- Strong foundation in  computer science fundamentals, including data structures, algorithms, and distributed systems.
- AWS certifications (e.g., AWS Certified Developer, AWS Certified Solutions Architect).
- Experience with Infrastructure as Code tools like CloudFormation, Terraform, or AWS CDK.
- Familiarity with monitoring, logging, and tracing tools (e.g., CloudWatch, ELK Stack).
- Experience working with event-driven architectures (e.g., SNS, SQS, Kafka).
- Knowledge of building management systems (BMS) or IoT platforms, particularly in the areas of energy management, building automation, or smart devices.
- Previous experience in  solving complex problems related to distributed systems and cloud-native applications.
- Understanding of IoT protocols, data ingestion from sensors, or real-time analytics for IoT devices.

What You Bring:
- A passion for solving problems through well-written, efficient code.
- The ability to leverage CS fundamentals to build high-performance, scalable solutions.
- The desire to learn and improve, staying current with the latest trends in cloud computing and software development.

Benefits:
- Opportunity to work on challenging cloud-native solutions in the building and energy management industry.
- Be part of a collaborative, innovative, and supportive team that values learning and growth.
- Ongoing professional development and exposure to cutting-edge technologies.

Python Software Development Professional

6833 - Python Software Development Professional

Job Title: UI Developer (Vue.js, Typescript, Microapps/Microfrontends)
Job Type: Full-Time

About the Role:

We are looking for a UI Developer experienced in Vue.js to join our team as a UI Developer for our evolving Cloud platform. In this role, you will develop and maintain microapps and microfrontends using Vue.js & Typescript, focusing on building modular, reusable, and high-performance components. While Vue.js and Typescript are essential, experience with React, Angular, etc. is a nice-to-have.

Responsibilities:
- Develop and maintain microapps and microfrontends using Vue.js and TypeScript, focusing on a scalable and modular architecture.
- Build reusable UI components and libraries with TypeScript to ensure type safety, maintainability, and reliability.
- Collaborate with backend engineers, product managers, and UX designers to integrate features.
- Ensure TypeScript is used effectively to catch errors early and improve code quality across the frontend codebase.
- Implement responsive and accessible UIs with TypeScript, ensuring a consistent experience across multiple devices and browsers.
- Contribute to the design and development of microfrontend architecture, ensuring microapps are independently deployable.
- Participate in code reviews, ensuring adherence to best practices and high-quality TypeScript code.
- Write and maintain unit      and integration tests using TypeScript to ensure the reliability of UI components.
- Integrate frontend applications with backend APIs, ensuring efficient data handling and communication.
- Stay up-to-date with the latest in Vue.js, TypeScript, and microfrontend development practices.

Qualifications:
- 3+ years of experience in frontend development with a strong focus on Vue.js and TypeScript.
- Proven experience in microapp and microfrontend development using Vue.js and TypeScript.
- Solid experience in HTML5, CSS3, and modern styling frameworks like SASS or TailwindCSS.
- Solid understanding of JavaScript (ES6+) and TypeScript, with an emphasis on type safety and code maintainability.
- Familiarity with component-based architecture and state management libraries like Vuex or Pinia.
- Experience with frontend build tools and module bundlers (e.g., Webpack, Vite), especially in TypeScript-based projects.
- Strong knowledge of RESTful APIs and their integration using TypeScript.
- Proficiency in version control systems (Git) and working with CI/CD pipelines.
- Strong understanding of cross-browser and cross-device compatibility, using TypeScript to ensure consistent functionality.

Preferred Skills:
- Experience with React is a plus but not required.
- Familiarity with containerization technologies (Docker) and deploying frontend applications      in the cloud (e.g., AWS, GCP), using TypeScript for development.
- Experience with monorepo tools like Nx or Lerna.
- Familiarity with Design Systems and UI component documentation tools like Storybook.
- Knowledge of frontend security best practices (e.g., secure authentication, session management).

What You Bring:
- Strong passion for Vue.js and TypeScript development, with a focus on building modular, high-performance user interfaces.
- Excellent problem-solving skills and a team-oriented mindset.
- Enthusiasm for staying current with new technologies and best practices in frontend development.
- Willingness to take ownership of your work and contribute to a collaborative team environment.

Benefits:
- Opportunity to work on a cutting-edge platform in the building and energy management space.
- Collaborative and innovative environment that encourages continuous learning and professional growth.
- Opportunities for advancement within a growing team.

Vue.js Software Development Professional

6832 - Vue.js Software Development Professional

Front End Angular Developer Role with 3 to 7 years' experience

Must haves:
• Strong hands-on Experience with Angular JavaScript framework.
• Experience of ngrx & rxjs libraries.
• Experience implementing accessibility features.
• Experience with SCSS, Bootstrap 5 & ng-bootstrap
• Experience with RESTFUL and asynchronous programming.
• Experience with modern HTML5, JavaScript (ES6+) and CSS3.
• Experience working on NodeJS.
• Knowledge of UI/UX design Principles.
• Knowledge of CI/CD pipeline , experience in GitHub Actions will be preferred.
• Experience with AWS services.
• Interpersonal skills and willingness to collaborate with teams across different locations.

Plus- Backend experience

Interview process - 2 total duration 30 to 2 hours max

Angular 2+ Software Development Professional

6828 - Angular 2+ Software Development Professional

As an Integration Developer, you will have the opportunity to:
- Develop integrations based on requirements that achieve business and technical objectives for our Use Case(s)
- Support testing plans for integrations that ensure successful “go-live” deployments
- Effective communication with integrations leadership, engineering, and QA to ensure successful build, deployment, testing and implementation of integrations.
- Ability to give overview of configured integrations and high level support for deployed integrations

The Following Skills Will Set You Up For Success:
- Node.js and TypeScript
- Integrations between SaaS applications and other web services (SaaS and others)
- Relational database structures and data arrays/collections
- Web service APIs
- Authentication/authentication methods such as OAuth/HTTP basic auth/API keys
- Web services such as REST/SOAP
- Data and file formats such as XML/JSON/PDF/CSV
- iPaaS tool Prismatic
- Ability to take requirements and design, build, test, and support
- Ability to organize information, manage tasks and use available tools to effectively contribute to a team and the organization
- Experience developing in JavaScript or other coding languages a plus

Node.js Software Development Professional

6813 - Node.js Software Development Professional

**Sr. Data Scientist**

**Duties and Responsibilities:**
- Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
- Become a domain expert! Apply data science and machine learning techniques to derive business value from the full range of internal and external data sets in a cloud environment.
- Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
- Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
- Identify trends and opportunities to drive innovation
- Take on ownership of data science projects that drive measurable value for the business.
- Be a true full-stack data scientist! 

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

**Additional Qualifications And Skills** **Other Required Qualifications:**
- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 2-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- 3-5 years’ experience with Python and SQL.
- Experience with cloud computing platforms and tools (prefer AWS, but open to GCP or other).
- Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)
- Experience with translating business use cases into real work experiements, models and insights.

6809 - AI Software Development Professional

### Required Qualifications:
1. **Microservice Architecture:** Demonstrated experience in working with microservice-based environments.
2. **GitHub:** Familiarity with Git and experience with GitHub for version control.
3. **Architectural Comfort:** Comfortable with architectural aspects of software development, particularly in a SaaS environment.
4. **Communication Skills:** Strong communication skills for effectively conveying architectural decisions and system mappings.
5. **Microservice Experience:** Minimum of 5 years of experience working with microservices.
6. **Rails:** Proficiency in Ruby on Rails development.
7. **GraphQL:** Experience with GraphQL for API development.
8. **PostgreSQL:** Experience working with PostgreSQL databases.
9. **ORMs:** Familiarity with Object-Relational Mapping (ORM) frameworks.
10. **Monitoring and Metrics:** Comfortable with monitoring metrics and analyzing performance information.
11. **Comfortable working with Data and Query Performance:** Ability to optimize query performance and understand the impact of queries on the system.
12. **Tech Lead Experience:** Previous experience in a technical leadership role, providing guidance and direction to a team.

### Optional Qualifications:
1. **Datadog:** Experience with monitoring and performance tracking using Datadog.
2. **RESTful Experience:** Experience with RESTful APIs, although transitioning to GraphQL is preferred.
3. **Frontend Skills:** While not required, frontend development skills could be beneficial in certain contexts.

6808 - Ruby Software Development Professional

**Intermediate React Engineer**
**Requirements:**
- 3-5 or more years of professional experience specializing in front-end development with large companies.
- Extensive experience with React, JavaScript, CSS, Styled Components, and TypeScript.
- Experience with React Testing Library.
- Experience with Storybook or similar reusable JavaScript UI component integration
- Experience working with highly collaborative teams and familiar with pair programming, design sessions, grooming meetings, etc.
- Experience with page speed and front-end performance optimization
- Experience with Git workflows and GitHub
- Strong communication skills, both verbal and written, with the ability to articulate effectively across technical and non-technical partners.
- Self-starters with the ability to make informed choices when faced with ambiguity

**Nice to haves:**
- Experience with NextJS
- Experience working with feature flags or gated features
- Experience with accessibility testing
- Experience with Percy and browser testing with CI tooling
- Experience with GraphQL, Apollo, and API data integration
- Familiar with microservices and microfrontends architectures.
- Experience migrating React apps to newer versions.
- Experience working on agile teams.

React Software Development Professional

6807 - React Software Development Professional

**Lead React Engineer**
**Requirements:**
- 7 or more years of professional experience specializing in front-end development with large companies.
- Extensive experience with React, JavaScript, CSS, Styled Components, and TypeScript.
- Experience with React Testing Library.
- Experience with Storybook or similar reusable JavaScript UI component integration
- Experience working with highly collaborative teams and familiar with pair programming, design sessions, grooming meetings, etc.
- Experience with page speed and front-end performance optimization
- Experience with Git workflows and GitHub
- Strong communication skills, both verbal and written, with the ability to articulate effectively across technical and non-technical partners.
- Self-starters with the ability to make informed choices when faced with ambiguity

**Nice to haves:**
- Experience with NextJS
- Experience working with feature flags or gated features
- Experience with accessibility testing
- Experience with Percy and browser testing with CI tooling
- Experience with GraphQL, Apollo, and API data integration
- Familiar with microservices and microfrontends architectures.
- Experience migrating React apps to newer versions.
- Experience working on agile teams.

6805 - React Software Development Professional

**Senior Machine Learning Engineer**

Streaming companies annually spend over $26 billion dollars making original content. Their subscribers pay a lot of money monthly to stream this original and licensed content. These streaming companies are now looking for new, innovative, and incremental revenue streams versus simply raising subscriber costs. This is where we come in.

We have a very unique approach to helping streaming companies develop the perfect combination of a seamless journey of watching your favorite sitcom, cooking show, live sporting event, home improvement, etc with the additional benefit of actually buying using Machine Learning and Computer Vision technologies.
We're a team of entrepreneurs that have done multiple company exits from Klarna, eBay, Amazon, Warner Bros, Google.

**Position Overview**
We are looking for a Senior Machine Learning Engineer to develop and implement advanced LLM-based systems. You will work closely with a small but dynamic team of 6-8 engineers and scientists. Reporting directly to the CTO, you will play a pivotal role in designing, training, and deploying state-of-the-art language models, as well as optimizing their performance across our entire platform.

**Responsibilities**
- Develop and implement a broad range of LLM-based systems, including text generation, image generation, video understanding, and coding copilot applications
- Fine-tune LLMs and implement Retrieval-Augmented Generation (RAG) systems to enhance model performance and knowledge
- Optimize LLM deployments for cost efficiency, including techniques such as quantization and distillation
- Prepare and clean diverse datasets for LLM training and evaluation
- Collaborate with senior business leaders on model architecture, deployment strategies,and long-term AI roadmap
- Interact directly with end-users to gather requirements and feedback on LLM systemperformance

**Qualifications**
- 5+ years of experience in machine learning engineering, with a focus on natural language processing and multi-modal LLMs
- Proficiency with Python and deep learning frameworks such as PyTorch or TensorFlow
- Strong background in data preprocessing and feature engineering for NLP tasks
- Solid problem solving and system design skills
- Hands-on experience with fine-tuning LLMs and implementing Retrieval-AugmentedGeneration (RAG) systems
- Experience deploying and monitoring machine learning models on cloud platforms,preferably AWS
- Startup mentality to iterate rapidly, work across disciplines, and focus on customers

**Preferred qualifications**
- Experience with AWS SageMaker or GCP Vertex AI for model training, deployment, and management
- Proficiency using infrastructure-as-code tools like AWS CDK or Terraform for ML model deployments
- Experience working on e-commerce and/or enterprise (B2B) products, particularly in applying LLMs to these domains
- Hands-on experience using LLMs for data cleaning, enrichment, and augmentation tasks
- Familiarity with ML dataset annotation tools and processes, such as AWS SageMakerGroundTruth
- Experience with prompt engineering and few-shot learning techniques for LLMs
- Knowledge of efficient training techniques like parameter-efficient fine-tuning (PEFT) orLoRA
- Familiarity with model evaluation metrics and A/B testing for LLM performance

6789 - AI Software Development Professional

**JR 1215**

**About This Job**
As a Salesforce Administrator, you will be part of a collaborative project team responsible for successfully developing, customizing, and integrating Salesforce solutions. You will leverage a number of proprietary and standard technologies/tools and will be primarily responsible for administration and customization of our Enterprise Salesforce environment.
**Responsibilities include:**
- Build Salesforce.com Declarative customizations & automations, including:
- Architectural Components: Objects, Record Types, Layouts, & Fields
- Automation Components: Workflow rules, Flows, & Process Builders
- Efficiency Components: Knowledgebase, Macros, Quicktext
- Omni-Channel Components: Assignment Rules, Entitlements, LiveAgent, Glance & Five9 Integrations
- Develop deep understanding of the internal Consumer & Commercial Banking operations to lead complex projects and integrations to improve sales and service
- Promote business adoption of system capabilities and features (via trainings & webinars)
- Participate in all aspects of our Agile Project Methodology (including proper Change Management)

**Desired Career Experience**
- 2-4 years as a Salesforce.com Administrator
- Operates in a Scrum/Agile Environment
- Knowledge of the following platforms:Five9, Conga, Glance, LoS, Marketing Cloud platforms
Other cloud and on premise based systems

- Has ample Declarative Automation design experience
- Proven Strong admin experience with SalesCloud, ServiceCloud, Knowledgebase & Communities
- Strong understanding of Salesforce.com best practices and functionality
- Understanding of Salesforce1 Mobile
- SQL experience

**Required Key Knowledge, Skills and Experience**
- Manage users, data, & security
- Build Reports, dashboards, & workflows
- Identify Sales & Service Best practices within Banking
- Adhere to Salesforce best practices in declarative customization

6761 - Salesforce Admin 

Recruiter 

6739 - Recruiter 

Senior Backend Engineer

Overview
Streaming companies annually spend over $26 billion dollars making original content. Their subscribers pay a lot of money monthly to stream this original and licensed content. These streaming companies are now looking for new, innovative, and incremental revenue streams versus simply raising subscriber costs. This is where we come in.

We have a very unique approach to helping streaming companies develop the perfect combination of a seamless journey of watching your favorite sitcom, cooking show, live sporting event, home improvement, etc with the additional benefit of actually buying using Machine Learning and Computer Vision technologies.
We're a team of entrepreneurs that have done multiple company exits from Klarna, eBay, Amazon, Warner Bros, Google.

Position Overview
We are looking for a senior backend engineer to support web and mobile shopping experiences. You will work closely with a small but dynamic team of 5-10 engineers. Reporting directly to the CTO, you will play a pivot role in the system design and customer experience across devices.

Responsibilities
- Deliver complete backend services that power our delightful user experience
- Architect and implement scalable, high-performance APIs and microservices
- Work with modern, open source toolkits and frameworks
- Collaborate with senior business leaders on roadmap, architecture, and planning
- Optimize database design and query performance
- Iterate rapidly based on customer feedback and pain points

Qualifications
- **5+ years of experience in backend development**
- **Strong proficiency with backend languages such as Node.JS, Express.JS, TypeScript, and Graph QL**
- **Typescript experience is a must**
- **Experience using AI chatbots like Copilot**
- **Expert knowledge of RESTful API design and implementation**
- **Solid problem-solving and system design skills**
- Extensive experience with database technologies (SQL and NoSQL)
- Proficiency in building, deploying, and operating applications on cloud platforms
- Strong understanding of scalability, performance optimization, and distributed systems
- Startup mentality to iterate rapidly, work across disciplines, and focus on customer needs

Preferred Qualifications
- Experience with Python, or Go
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Experience with message queues and event-driven architectures
- Proficiency with backend frameworks like Express.js or Django
- Experience building on AWS, GCP, or Azure
- Experience with CI/CD pipelines and DevOps practices
- Experience working on e-commerce and/or enterprise (B2B) products
- Experience using AI chatbots like Copilot

6727 - Node.js Software Development Professional

6644 - Ruby Software Development Professional

6643 - Ruby Software Development Professional

### Back-End Web Software Engineer
**Requirements:**
- 5 or more years of professional experience specializing in back-end development with large companies
- Extensive experience with Ruby on Rails and scaling Rails with PostgreSQL databases
- Extensive experience with GraphQL APIs including: Apollo, schema design, and best practices
- Extensive experience with REST APIs and API data integration between services
- Experience with performance optimization of APIs and modern web systems
- Experience with Kafka, Redis, and consuming or emitting messages to communicate across systems
- Experience with git workflows, GitHub, and pull request reviews
- Understanding of the resilient distributed service architecture model
- Strong collaboration skills, including partnering with designers, and other engineers across web and mobile
- Strong communication skills, both verbal and written, with the ability to articulate effectively across technical and non-technical partners
- Strong analytical skills

**Nice to haves:**
- Experience with Circle CI or similar CI tooling and automation
- Experience with Datadog or similar cloud monitoring and observability tool
- Experience with Bugsnag or similar error monitoring and reporting tool
- Experience working with feature flags or gated features

6641 - Ruby Software Development Professional

**JRR 1263**

The Salesforce Developer will be responsible for the execution of complex Salesforce development efforts across the bank while working with a team of admins and developers.  The ideal candidate will have experience a broad experience of Salesforce development with a proven track record of exceptional results and scalability and is looking for the opportunity to grow into a development team leader and technical lead over the next several years.
**Responsibilities include:**
- Design consumable, secure and scalable project-specific architectures to be executed on by administrators and developers
- Review existing designs and implementations to deliver an evaluation used to provide scalability and continuity
- Participate in every stage of the Salesforce team SDLC
- Design and implement standard code review processes
- Compare functional requirements with native Salesforce functionalities to provide gap analysis prior to custom development
- Provide Impact analysis on existing solutions prior to the execution and acceptance of the proposed solution design.
- Educate, advocate, and utilize development best practices always using Salesforce out-of-box functionality first wherever possible
- Evaluate data integration tools and products to be used for various projects and needs
- Provide design for new Salesforce-related data integration projects
- Collaborate with all roles of the Salesforce team alongside stakeholders (Developer, QA , BA, Admin, Project Manager / Scrum Master, business stakeholders)

Document and communicate Salesforce solution architecture to the Salesforce team

Salesforce Developer 

6626 - Salesforce Developer 

**Sr. Data Scientist**
Be a pioneer in business, education, and global impact by joining the team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies.

In this capacity, you will translate the needs of our cross-functional stakeholders into predictive models and production-grade algorithms and platforms and will drive value creation through personalized engagement, expanded reach, and experimental new ways of learning that will continue the organization's leadership in education, business, and societal impact.

You will contribute to the creation, delivery, and production of specific data science, machine learning and AI products for internal stakeholders; directly mentor other data professionals, data analysts, and machine learning engineers. In conjunction with the key partners, you will make technical decisions on data, technology, and ways of working.,

**Duties and Responsibilities:**
- Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
- Apply data science, machine learning, and AI techniques to derive business value from the full range of internal and external data sets in a cloud environment.
- Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
- Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
- Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
- Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value.
- Embody the values and passions that characterize the organization, with empathy to engage with colleagues from a wide range of backgrounds.
- Promote data science, machine learning, AI, and digital and emerging technologies in relevant channels through community engagement, networking, speeches, and publications as applicable.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

**Additional Qualifications And Skills** **Other Required Qualifications:**
- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 2-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- 3-5 years’ experience with Python and SQL.
- Experience with cloud computing platforms and tools (AWS, GCP, or other).
- Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)
- Proficiency with data visualization tools (D3.js, R Shiny, Looker, Streamlit, or similar).
- Experience operationalizing end-to-end machine learning applications.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.

6590 - AI Software Development Professional

# Senior Machine Learning Engineer, Generative AI Applications
**Position Description**
Be a pioneer in business, education, and global impact by joining this team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their business value.

**Duties and Responsibilities:**
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Automate machine learning pipelines and monitor and optimize machine learning solutions.
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.
- Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
- Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Monitor, debug, track, and resolve production issues.
- Work with project managers to ensure that projects proceed on time and on budget.
- Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

++Additional Qualifications and Skills++ **Other Required Qualifications:**
- 3-5 years’ post-secondary education or relevant work experience
- Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 3-5 years’ software development experience with Python and SQL.
- Working experience with Open AI APIs
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.
- 2-3 years’ experience in developing and deploying machine learning systems into production in a cloud environment.
- Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
- Knowledge of data pipeline and workflow management tools.
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
- Relevant working experience with Docker and Kubernetes

6589 - AI Software Development Professional

# Senior Machine Learning Engineer, Generative AI Applications
**Position Description**
Be a pioneer in business, education, and global impact by joining this team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their business value.

**Duties and Responsibilities:**
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Automate machine learning pipelines and monitor and optimize machine learning solutions.
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.
- Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
- Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Monitor, debug, track, and resolve production issues.
- Work with project managers to ensure that projects proceed on time and on budget.
- Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

++Additional Qualifications and Skills++ **Other Required Qualifications:**
- 3-5 years’ post-secondary education or relevant work experience
- Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 3-5 years’ software development experience with Python and SQL.
- Working experience with Open AI APIs
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.
- 2-3 years’ experience in developing and deploying machine learning systems into production in a cloud environment.
- Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
- Knowledge of data pipeline and workflow management tools.
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
- Relevant working experience with Docker and Kubernetes.

6588 - AI Software Development Professional

# Senior Machine Learning Engineer, Generative AI Applications
**Position Description**
Be a pioneer in business, education, and global impact by joining this team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their business value.

**Duties and Responsibilities:**
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Automate machine learning pipelines and monitor and optimize machine learning solutions.
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.
- Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
- Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Monitor, debug, track, and resolve production issues.
- Work with project managers to ensure that projects proceed on time and on budget.
- Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

++Additional Qualifications and Skills++ **Other Required Qualifications:**
- 3-5 years’ post-secondary education or relevant work experience
- Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 3-5 years’ software development experience with Python and SQL.
- 2-3 years’ experience in developing and deploying machine learning systems into production in a cloud environment.
- Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
- Working experience with Open AI APIs
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
- Knowledge of data pipeline and workflow management tools.
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
- Relevant working experience with Docker and Kubernetes.

6583 - AI Software Development Professional

# Senior Machine Learning Engineer, Generative AI Applications
**Position Description**
Be a pioneer in business, education, and global impact by joining this team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their business value.

**Duties and Responsibilities:**
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Automate machine learning pipelines and monitor and optimize machine learning solutions.
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.
- Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
- Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Monitor, debug, track, and resolve production issues.
- Work with project managers to ensure that projects proceed on time and on budget.
- Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

++Additional Qualifications and Skills++ **Other Required Qualifications:**
- 3-5 years’ post-secondary education or relevant work experience
- Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 3-5 years’ software development experience with Python and SQL.
- 2-3 years’ experience in developing and deploying machine learning systems into production in a cloud environment.
- Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
- Knowledge of data pipeline and workflow management tools.
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.
- Relevant working experience with Docker and Kubernetes.
- Working experience with Open AI APIs

6441 - AI Software Development Professional

6440 - AI Software Development Professional

Summary
Under general supervision, the Sr. Software Engineer will contribute to design sessions, perform coding and code reviews, unit testing, integration testing, ensure quality deliverables/releases and will adhere to the established SDLC guidelines.
Responsibilities.
· Understands requirements and develops technical designs
· Discovers and shares lessons learned and best practices
· Documents and updates new and existing documentation with latest learnings
· Works in Scrum to groom product requirements, estimate work, and commit to deliverables
· Interacts closely with business and technical teams to understand business processes and produces effective technical solutions
· Participates in and sometimes leads peer code reviews, effort to drive overall code testability and team project planning
· Performs functional analysis for small to moderate projects
· Maintains status of project responsibilities
· Participates in user/external group discussions
· Performs other duties as needed
Requirements
· 3+ years’ work experience with B.S. degree in Computer Science or related field preferred
· At least 2 years of experience with Android Studio, ADB, XML, Json, Gradle, Firebase and Android SDKs
· Familiar with both Kotlin and Java, have hands-on experience on building apps with Kotlin
· Proficiency in OOP, MVVM, Service integration (REST / SOAP), SQLite, LiveData
· Experience in designing products that served millions of users is a plus
· Hands-on experience in Scrum and/or other Agile development methodology
· Have good English verbal and written communication skills. Ability to develop cohesive working relationships with internal and external clients